Training in progress epoch 67

README.md

@@ -14,11 +14,11 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.1036
-- Train Accuracy: 0.1120
-- Validation Loss: 1.0703
-- Validation Accuracy: 0.1134
-- Epoch: 66
+- Train Loss: 1.0984
+- Train Accuracy: 0.1121
+- Validation Loss: 1.0366
+- Validation Accuracy: 0.1139
+- Epoch: 67
 
 ## Model description
 
@@ -111,6 +111,7 @@ The following hyperparameters were used during training:
 | 1.1162     | 0.1117         | 1.0781          | 0.1127              | 64    |
 | 1.1114     | 0.1118         | 1.0474          | 0.1138              | 65    |
 | 1.1036     | 0.1120         | 1.0703          | 0.1134              | 66    |
+| 1.0984     | 0.1121         | 1.0366          | 0.1139              | 67    |
 
 
 ### Framework versions

tf_model.h5

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b9e7b8b743125dd65d203c5f1e9e7b9d3978df2aa9f85114c1322680b4d6bcc3
 size 499741936